Recently, many companies, including Apple, have changed their minds about making self-driving cars because they realized it's harder and might not make as much money as they thought.
This change means they're not rushing to make these cars anymore, leaving the job to specific companies like Waymo, Zoox/Amazon, and some in China, who might take their time but still aim to make money from it eventually.
Apple Cancels Work on Electric Car, Shifts Team to Generative AI
Apple Inc. is canceling a decadelong effort to build an electric car, according to people with knowledge of the matter, abandoning one of the most ambitious projects in the history of the company.
Apple has decided to terminate its decade-long initiative to develop an electric car, shocking the nearly 2,000 employees involved in the project. The cancellation was announced internally by COO Jeff Williams and VP Kevin Lynch, who indicated that the project, known as Project Titan, would be winding down. Many team members from the Special Projects Group (SPG) will be relocated to the artificial intelligence division to work on generative AI projects, under the leadership of executive John Giannandrea. While some hardware engineers and vehicle designers may have the opportunity to transition to other roles within Apple, there will be layoffs, although the exact number is uncertain. This decision marks the end of a highly ambitious and costly venture for Apple, moving away from entering the automotive industry.
1000 Personen sollen ihr Auto einen Monat lang stehen lassen
Im Rahmen der «31 Days Challenge» sollen 1000 Winterthurer einen Monat lang aufs Auto verzichten. Dafür erhalten sie unter anderem ein Schnupper-GA.
Waymo reaches 10M driverless miles and 1M driverless paid rides!
Only one year after 1M miles on public roads Waymo reaches 10M and 1M in paid trips
Buyers of residential property had to dig deeper into their pockets also last year.
In 2023, residential property prices in Switzerland continued to increase, though the growth rate slowed due to interest rate hikes. The Swiss Real Estate Institute's analysis, based on actual sales prices from the Swiss Real Estate Data Pool, found that:
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Single-family homes saw an average price increase of 3.6%, outpacing the general inflation rate of 2.1%. Flats, however, only experienced a slight price increase of 0.4%.
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Central Switzerland had the most expensive detached houses, averaging CHF 1.64 million, a 5.1% increase from 2022. Zurich was the second most expensive region.
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The largest price increases were in Eastern Switzerland (8.2%) and Ticino (6.7%). This is attributed to a catch-up effect and relatively more affordable financing options in these regions.
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Bern and Solothurn were the only regions with declining prices, with a 2.1% decrease and the lowest average selling price for single-family homes at CHF 920,000.
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In the flat market, Zurich overtook Central Switzerland with an average price increase of 1.8% to CHF 1.14 million. Bern and Solothurn saw the most significant decrease in flat prices, dropping by 8.8%.
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The municipality of Erlenbach in the canton of Zurich had the highest average price for detached houses at CHF 5.16 million.
Overall, the Swiss residential property market showed varied trends across different regions and types of properties, with some areas experiencing significant price increases while others saw declines.
The Math behind Adam Optimizer | Towards Data Science
The article discusses the Adam optimizer, a popular algorithm in deep learning known for its efficiency in adjusting learning rates for different parameters.
Unlike other optimizers like SGD or Adagrad, Adam dynamically changes its step size based on the complexity of the problem, analogous to adjusting stride in varying terrains. This ability to adapt makes it effective in quickly finding the minimum loss in machine learning tasks, a key reason for its popularity in winning Kaggle competitions and among those seeking a deeper understanding of optimizer mechanics.
New sensor rack spotted on Waymo in Buffalo
Buffalo is where Waymo is doing winter testing. ls Waymo testing new sensors designed to do better in winter weather?
I'm sorry to hear about your difficult experience and the impact it's had on you. It's obvious that this situation left a deep scar on your soul, and I applaud you for seeking therapy and getting sober.
I, personally don't know you nor her, nor was I present when all this happened but I think it's important to remind yourself that there are always two sides to a story. While your intentions may have been innocent, her perception of the interactions might have been different. It's possible that what felt like friendly conversation to you was perceived as uncomfortable or intrusive to her. This doesn't necessarily make anyone the "bad guy" – it's just a reminder of how complex human interactions can be and how two people can interpret the same situation very differently.
Regarding your self-perception and fear about future relationships, it's crucial to understand that one incident doesn't define who you are or dictate your future. People grow and change, especially when they actively work on themselves as you have. Being sober and in therapy are important steps towards understanding yourself and learning how to build healthy relationships.
Regarding how she chose to handle the situation, it's important to acknowledge that her actions, whether perceived as right or wrong, are beyond your control. While it's possible that her intentions were not entirely good-hearted, focusing on this aspect might not be constructive for your own healing journey. You cannot change her actions or her perception of the events, only how you respond and learn from the experience. This is part of accepting the past and focusing on your own growth and future.
I want to stress, that self-forgiveness is a vital part of healing. Continually hating yourself for past mistakes is not productive. Recognizing your growth and the efforts you've made to improve is important. You're not the person you were six years ago.
Finally let me tell you that everyone deserves love and the chance to enter into a healthy relationship. This experience doesn't change that. I highly recommend discussing your feelings with your therapist, who can provide more personalized guidance and support.
And as last two cents: remember, growth often comes from challenging experiences. You're on the right path by acknowledging the past, learning from it, and making positive changes. Keep moving forward!
I hope you find something useful in my babbling and wish you a wonderful day 🙂
My guess is most airlines have clauses in their terms and conditions that allow them to change the aircraft type without prior notice. Pretty sure their lawyers would argue that this is considered a management right for operational reasons.
But I'm no expert 🙃
I know perplexity.ai, but don't think it's "open source privacy respecting"
Waymo tests fully autonomous cars on freeways in Phoenix
Waymo announces the start of testing its fully autonomous passenger cars without a human driver on freeways in Phoenix, Arizona. This initiative will soon assist Waymo One riders in reaching their destinations safely and efficiently.
Initially, Waymo will offer rider-only trips to its employees on Phoenix freeways, followed by availability to Waymo One riders, offering them faster and more efficient journeys. For instance, a journey from Sky Harbor Airport to the northern parts of Scottsdale can be 50% quicker using AZ-101 instead of city streets.
The company aims to expand its ride-hailing service to additional cities, focusing on providing safe and enjoyable transportation for its riders.
And for the creation of this thought water was also involved; assuming this was indeed a showerthougt
Big beards can alter facial recognition and obscure expressions, making someone look more unpredictable or wild to observers.
Large language models (LLMs) are data-efficient but their size makes them difficult to deploy in real-world scenarios.
"Distilling Step-by-Step" is a new method introduced by Google researchers that enables smaller models to outperform LLMs using less training data. This method extracts natural language rationales from LLMs, which provide intermediate reasoning steps, and uses these rationales to train smaller models more efficiently.
In experiments, the distilling step-by-step method consistently outperformed LLMs and standard training approaches, offering both reduced model size and reduced training data requirements.
But depending on your current knowledge and future accidents it might be more useful 😉
😅 either this is the weirdest autocorrect ever or you had a stroke or I missed a joke 😅
Angular momentum is a measure of an object's rotation around a point (#spin) 🌪️.
Centripetal force is the force that keeps an object moving in a circular path, always pointing towards the center (#holdingtight) 🎯.
One is about spinning momentum, the other about the force directing that spin.
In this example:
As you shoot the water jet at the skateboard wheel, you are continuously adding angular momentum to the wheel. This increases the wheel's rotational speed.
As the wheel spins faster and faster, the individual particles in the wheel experience a greater centripetal force, pulling them towards the center of the wheel's rotation. However, at the same time, due to the increased rotational speed, the particles also experience a greater centrifugal force (which is not a real force but an apparent force observed in a rotating reference frame), pushing them outwards.
At a certain point, this outward "force" (centrifugal effect) becomes too great for the material of the wheel to withstand, overcoming the cohesive forces holding the wheel together, and it starts to expand and eventually breaks.
This being said, I'm not sure if that's actually correct what I just wrote, so take it all with a grain of salt (as one should do anyway when reading something online...)
Thank you 😊
Gifs are one of the things I missed most from reddit, so I thought I get the ball rolling by adding some gifs and hoping others will follow soon 😀